Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Wayne P. Dulaney"'
Autor:
Wayne P. Dulaney, Martha C. Anderson, Feng Gao, Alan Stern, Glenn Moglen, George Meyers, Craig S. T. Daughtry, William White, Uvirkaa Akumaga, Jennifer Showalter
Publikováno v:
Agrosystems, Geosciences & Environment, Vol 7, Iss 1, Pp n/a-n/a (2024)
Abstract High‐quality, gridded maps of crop yield, which discern the spatial variability in productivity across individual farm fields, are extremely valuable in numerous agricultural and remote sensing applications. The availability of these data
Externí odkaz:
https://doaj.org/article/0883368127b0435c8debce18adedadd5
Autor:
Uvirkaa Akumaga, Feng Gao, Martha Anderson, Wayne P. Dulaney, Rasmus Houborg, Andrew Russ, W. Dean Hively
Publikováno v:
Agronomy, Vol 13, Iss 6, p 1540 (2023)
Crop models are useful for evaluating crop growth and yield at the field and regional scales, but their applications and accuracies are restricted by input data availability and quality. To overcome difficulties inherent to crop modeling, input data
Externí odkaz:
https://doaj.org/article/95bf02b0e5114b58bb0a9d8ab32b96c1
Autor:
Hively, Uvirkaa Akumaga, Feng Gao, Martha Anderson, Wayne P. Dulaney, Rasmus Houborg, Andrew Russ, W. Dean
Publikováno v:
Agronomy; Volume 13; Issue 6; Pages: 1540
Crop models are useful for evaluating crop growth and yield at the field and regional scales, but their applications and accuracies are restricted by input data availability and quality. To overcome difficulties inherent to crop modeling, input data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::b151abac935905242200092da5731d67